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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IMAGE: high-powered detection of genetic effects on DNA methylation using integrated methylation QTL mapping and allele-specific analysis
|
|---|---|
| Published in |
Genome Biology, October 2019
|
| DOI | 10.1186/s13059-019-1813-1 |
| Pubmed ID | |
| Authors |
Yue Fan, Tauras P. Vilgalys, Shiquan Sun, Qinke Peng, Jenny Tung, Xiang Zhou |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 53% |
| Austria | 1 | 7% |
| Brazil | 1 | 7% |
| Germany | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 3 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 60% |
| Members of the public | 5 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 12 | 24% |
| Other | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Professor | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 39% |
| Agricultural and Biological Sciences | 7 | 14% |
| Computer Science | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2019.
All research outputs
#2,330,349
of 25,387,668 outputs
Outputs from Genome Biology
#1,919
of 4,470 outputs
Outputs of similar age
#49,504
of 374,664 outputs
Outputs of similar age from Genome Biology
#53
of 73 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 374,664 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.